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KGTORe: Tailored Recommendations through Knowledge-aware GNN Models

, , , , , and . Proceedings of the 17th ACM Conference on Recommender Systems, ACM, (September 2023)
DOI: 10.1145/3604915.3608804

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A Linked Data Recommender System Using a Neighborhood-Based Graph Kernel., , , and . EC-Web, volume 188 of Lecture Notes in Business Information Processing, page 89-100. Springer, (2014)Persistence on different databases via reflective IoT Middleware., , , and . SEBD, page 182-189. Matematicamente.it, (2016)Preface to the Special Issue on Recommender Systems., and . J. Data Semant., 6 (1): 1 (2017)Combining RDF and SPARQL with CP-theories to reason about preferences in a Linked Data setting., , , , and . Semantic Web, 11 (3): 391-419 (2020)A system for principled matchmaking in an electronic marketplace., , , and . WWW, page 321-330. ACM, (2003)Knowledge based approach to semantic composition of teams in an organization., , , , , and . SAC, page 1314-1319. ACM, (2005)Semantic Matchmaking in a P-2-P Electronic Marketplace., , , and . SAC, page 582-586. ACM, (2003)An analysis of users' propensity toward diversity in recommendations., , , , and . RecSys, page 285-288. ACM, (2014)Linked Open Data-Enabled Recommender Systems: ESWC 2014 Challenge on Book Recommendation., , and . SemWebEval@ESWC, volume 475 of Communications in Computer and Information Science, page 129-143. Springer, (2014)Rating Prediction with Contextual Conditional Preferences., , , and . KDIR, page 419-424. SciTePress, (2016)